Detection and Classification of Short and Long Duration Disturbances in Power System
In this project, PQ analyzer is developed which depicts the detection and classification of short and long duration disturbances in power system. These disturbances comprising of sag, swell, interruption, undervoltage, and overvoltage. All these disturbances are analyzed by uninterruptedly monitorin...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
ESRGroups
2017-12-01
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| Series: | Journal of Electrical Systems |
| Subjects: | |
| Online Access: | http://journal.esrgroups.org/jes/papers/13_4_13.pdf |
| Summary: | In this project, PQ analyzer is developed which depicts the detection and classification of short and long duration disturbances in power system. These disturbances comprising of sag, swell, interruption, undervoltage, and overvoltage. All these disturbances are analyzed by uninterruptedly monitoring of power system. This paper outlines the start time, end time, magnitude and waveform of disturbances. These detected disturbances are classified on the basis of their respective characteristics. The perceptions and classifications are accomplished by using Advanced Digital Signal Processor (ADSP-21369). The statistics of disturbance are stored precisely and accurately. The prototype is configured with the LabVIEW to receive and store all the data which is sent by the processor via UART interface (RS-232 protocol).. |
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| ISSN: | 1112-5209 1112-5209 |